LDV Vision Summit: May 23 & 24, 2018
Innovation & Trends in Visual Technologies
New York City
Who should attend?
» Computer Vision, Machine Learning & Artificial Intelligence experts and professionals
» Media and brand executives interested in boosting revenue by leveraging new imaging and video products and technologies
» Investors: Visual technologies & businesses deliver tremendous upside - don't miss the next Instagram, Youtube, Oculus, Snapchat...
» Imaging and video startups interested in meeting investors, customers, recruiting and potential partners
» Technology executives evaluating companies for partnerships & acquisitions
» Creatives: Photographers, Videographers and anyone creating content
Day 1: Technology Deep Dive
Join the smartest people working in Computer Vision, Artificial Intelligence, Deep Learning, Autonomous Driving, Bioimaging and all technology related to Visual Data
Day 2: Business & Product
How can you increase revenue and avoid being disrupted by competitors. Topics range from the future of Cameras, Analytics, Social, Advertising, Distribution, Monetization, and Publishing.
2017 Highlights: Video
Presented by Evan Nisselson, LDV Capital
Video Program: Rebecca Paoletti, CakeWorks, CEO
Computer Vision Program: Serge Belongie, Cornell Tech
Computer Vision Advisors: Jan Erik Solem, Mapillary; Samson Timoner, Cyclops; Luc Vincent, Lyft; Gaile Gordon, Enlighted, Alexandre Winter, Netgear; Avi Muchnick, Adobe
Universities: Cornell Tech, School of Visual Arts
Please email if you are interested.
Media Partners: The Exponential View, Kaptur, VizWorld
2017 Speakers & Judges
Many companies who presented or competed at the last Summit have since raised venture capital funding.
Others have joined startups or formed companies with people they met at the Summit.
Startup Competition: Are you one of the most promising imaging & video companies? Compete for limited presentation slots in front of ~600 attendees including judges, investors, customers and potential partners.
Entrepreneurial Computer Vision Challenge: Face off against your fellow Computer Vision and Machine Learning enthusiasts for a chance to present your solutions to top industry VCs, judges, media executives and hiring companies.